{"as_of":"2026-08-16T06:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c3dd8b3674552ac9e61715327518b37f3b497a16fcd3ad7dcaeff3b70c0a1127","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T16:37:37.416596Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.05709","last_updated":"2024-09-09T15:20:24Z","snapshot_observed_at":"2026-08-13T04:55:15.373308Z","submitted_at":"2024-09-09T15:20:24Z","title":"Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.05709","snapshot_observed_at":"2026-08-11T16:37:37.416596Z","title":"Tomasetto, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.09942","last_updated":"2024-12-13T08:04:21Z","snapshot_observed_at":"2026-08-16T02:10:41.144525Z","submitted_at":"2024-12-13T08:04:21Z","title":"Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-11T16:37:37.416596Z"},"links":{"cited_paper":"/paper/2409.05709","citing_paper":"/paper/2412.09942"},"observation_digest":"sha256:a895d6f3b901d78d71a05d31ab2d9da4521be6b4b8353d494fd062116cc397a2","observation_id":"9a3e4a07-9c96-4c4f-83de-bc43b2ad9ae2","resolution":{"observed_at":"2026-08-11T16:37:37.416596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05709","last_updated":"2024-09-09T15:20:24Z","snapshot_observed_at":"2026-08-13T04:55:15.373308Z","submitted_at":"2024-09-09T15:20:24Z","title":"Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models","version":1},"cited_work":{"arxiv_id":"2409.05709","doi":"10.48550/arxiv.2409.05709","metadata_source":"arxiv_reference","pith_arxiv_id":"2409.05709","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Real-time optimal control of high- dimensional parametrized systems by deep learning-based reduced order models","venue":"arXiv (Cornell University)","work_id":"682197a7-0549-4e8c-99ac-784c959326f0","year":2024},"citing_paper":{"arxiv_id":"2506.04742","last_updated":"2026-04-09T07:22:01Z","snapshot_observed_at":"2026-07-31T17:00:03.914699Z","submitted_at":"2025-06-05T08:22:16Z","title":"Employing Deep Neural Operators for PDE control by decoupling training and optimization","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-19T11:43:59.085277Z"},"links":{"cited_paper":"/paper/2409.05709","citing_paper":"/paper/2506.04742"},"observation_digest":"sha256:b88aadaaca6f47bdc95e95cb69e1c67531de5c7337e0d8ec283917c2803ce1ff","observation_id":"99a2a926-3384-4462-a387-46bfb3a237a4","resolution":{"observed_at":"2026-05-19T11:47:16.010585Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05709","last_updated":"2024-09-09T15:20:24Z","snapshot_observed_at":"2026-08-13T04:55:15.373308Z","submitted_at":"2024-09-09T15:20:24Z","title":"Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models","version":1},"cited_work":{"arxiv_id":"2409.05709","doi":"10.48550/arxiv.2409.05709","metadata_source":"arxiv_reference","pith_arxiv_id":"2409.05709","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Real-time optimal control of high- dimensional parametrized systems by deep learning-based reduced order models","venue":"arXiv (Cornell University)","work_id":"682197a7-0549-4e8c-99ac-784c959326f0","year":2024},"citing_paper":{"arxiv_id":"2604.19018","last_updated":"2026-04-21T03:09:46Z","snapshot_observed_at":"2026-08-13T06:34:40.204384Z","submitted_at":"2026-04-21T03:09:46Z","title":"Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-10T02:31:07.932802Z"},"links":{"cited_paper":"/paper/2409.05709","citing_paper":"/paper/2604.19018"},"observation_digest":"sha256:6e6fd61623a6d3f674ee0a0b87daa7174aae926f7fbc4e687097ae81306fab80","observation_id":"3dabd54f-5f9e-421f-b3a1-8718dd3d3293","resolution":{"observed_at":"2026-05-10T02:32:49.475810Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.05709/citation-record","integrity":"/paper/2409.05709/integrity","json":"/paper/2409.05709/citation-record.json","paper":"/paper/2409.05709"},"outbound":[],"paper":{"arxiv_id":"2409.05709","last_updated":"2024-09-09T15:20:24Z","latest_version":1,"primary_category":"math.OC","snapshot_observed_at":"2026-08-13T04:55:15.373308Z","submitted_at":"2024-09-09T15:20:24Z","title":"Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.05709."}